Deficits in visuospatial attention, known as neglect, are common following brain injury, but underdiagnosed and poorly treated, resulting in long-term cognitive disability. In clinical settings, neglect is often assessed using simple pen-and-paper tests. While convenient, these cannot characterise the full spectrum of neglect. This protocol reports a research programme that compares traditional neglect assessments with a novel virtual reality attention assessment platform: The Attention Atlas (AA).

The AA was codesigned by researchers and clinicians to meet the clinical need for improved neglect assessment. The AA uses a visual search paradigm to map the attended space in three dimensions and seeks to identify the optimal parameters that best distinguish neglect from non-neglect, and the spectrum of neglect, by providing near-time feedback to clinicians on system-level behavioural performance. A series of experiments will address procedural, scientific, patient, and clinical feasibility domains.

Analyses focuses on descriptive measures of reaction time, accuracy data for target localisation, and histogram-based raycast attentional mapping analysis; which measures the individual’s orientation in space, and inter- and intra-individual variation of visuospatial attention. We will compare neglect and control data using parametric between-subjects analyses. We present example individual-level results produced in near-time during visual search.

The development and validation of the AA is part of a new generation of translational neuroscience that exploits the latest advances in technology and brain science, including technology repurposed from the consumer gaming market. This approach to rehabilitation has the potential for highly accurate, highly engaging, personalised care.

视觉空间注意力缺陷（称为忽视）在脑损伤后很常见，但诊断不足且治疗不当，导致长期认知障碍。在临床环境中，通常使用简单的纸笔测试来评估忽视情况。虽然方便，但这些并不能全面描述忽视的情况。该协议报告了一项研究计划，该计划将传统的忽视评估与新颖的虚拟现实注意力评估平台：注意力图集（AA）进行比较。

AA 由研究人员和临床医生共同设计，以满足改进忽视评估的临床需求。AA 使用视觉搜索范式在三个维度上绘制护理空间，并通过向临床医生提供有关系统级行为的近时反馈，寻求识别最能区分忽视与非忽视以及忽视范围的最佳参数。表现。一系列实验将涉及程序、科学、患者和临床可行性领域。

分析侧重于反应时间的描述性测量、目标定位的准确性数据以及基于直方图的光线投射注意力映射分析；它测量个体在空间中的方向，以及视觉空间注意力的个体间和个体内变化。我们将使用受试者间参数分析来比较忽视和控制数据。我们展示了视觉搜索过程中近时间产生的个体级结果的示例。

AA 的开发和验证是新一代转化神经科学的一部分，它利用了技术和脑科学的最新进展，包括从消费游戏市场重新利用的技术。这种康复方法具有高度准确、高度参与的个性化护理的潜力。